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Volumn 1, Issue , 1999, Pages 142-147

Learning in neuro-fuzzy systems with symbolic attributes and missing values

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY NEURAL NETWORKS; FUZZY SETS; FUZZY SYSTEMS; LEARNING ALGORITHMS;

EID: 0010402688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.1999.843976     Document Type: Conference Paper
Times cited : (11)

References (13)
  • 1
    • 27944470134 scopus 로고    scopus 로고
    • Tolerating missing val ues in a fuzzy environment
    • M. Mares, R. Mesiar, V. Novak, J. Ramik, and A. Stupnanova, editors, Prague, Academia
    • M. Berthold and K.-P. Huber. Tolerating missing val ues in a fuzzy environment. In M. Mares, R. Mesiar, V. Novak, J. Ramik, and A. Stupnanova, editors, Proc. Seventh International Fuzzy Systems Association WbrJd Congress IFSA'97, volume I, pages 359-362, Prague, 1997. Academia.
    • (1997) Proc. Seventh International Fuzzy Systems Association WbrJd Congress IFSA'97 , vol.1 , pp. 359-362
    • Berthold, M.1    Huber, K.-P.2
  • 3
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R. Fisher. The use of multiple measurements in taxonomic problems. Annual Eugenics, 7(Part II):179-188, 1936.
    • (1936) Annual Eugenics , vol.7 , pp. 179-188
    • Fisher, R.1
  • 7
    • 0001703957 scopus 로고    scopus 로고
    • A neuro-fuzzy method to learn fuzzy classification rules from data
    • D. Nauck and R. Kruse. A neuro-fuzzy method to learn fuzzy classification rules from data. Fuzzy Sets and Systems, 89:277-288, 1997.
    • (1997) Fuzzy Sets and Systems , vol.89 , pp. 277-288
    • Nauck, D.1    Kruse, R.2
  • 8
    • 0040410377 scopus 로고    scopus 로고
    • New learning strategies for NEFCLASS
    • M. Mares, R. Mesiar, V. Novak, J. Ramik, and A. Stupnanova, editors, Prague
    • D. Nauck and R. Kruse. New learning strategies for NEFCLASS. In M. Mares, R. Mesiar, V. Novak, J. Ramik, and A. Stupnanova, editors, Proc. Seventh International Fuzzy Systems Association World Congress IFSA'97, volume IV, pages 50-55, Prague, 1997.
    • (1997) Proc. Seventh International Fuzzy Systems Association World Congress IFSA'97 , vol.4 , pp. 50-55
    • Nauck, D.1    Kruse, R.2
  • 9
    • 0038797600 scopus 로고    scopus 로고
    • Fuzzy classification rules using categorical and metric variables
    • Leipzig, Leipziger Universitatsverlag
    • D. Nauck and R. Kruse. Fuzzy classification rules using categorical and metric variables. In Proc. 6th Int. Workshop on Fuzzy-Neuro Systems 1999 (FNS'99), pages 133-144, Leipzig, 1999. Leipziger Universitatsverlag.
    • (1999) Proc. 6th Int. Workshop on Fuzzy-Neuro Systems 1999 (FNS'99) , pp. 133-144
    • Nauck, D.1    Kruse, R.2
  • 12
    • 0026943536 scopus 로고
    • Generating fuzzy rules by learning from examples
    • L.-X. Wang and J. M. Mendel. Generating fuzzy rules by learning from examples. IEEE Trans. Syst., Man, Cybern., 22(6):1414-1427, 1992.
    • (1992) IEEE Trans. Syst., Man, Cybern. , vol.22 , Issue.6 , pp. 1414-1427
    • Wang, L.-X.1    Mendel, J.M.2
  • 13
    • 0025651706 scopus 로고
    • Multisurface method of pattern separation for medical diagnosis applied to breast cytology
    • Dec
    • W. Wolberg and O. Mangasarian. Multisurface method of pattern separation for medical diagnosis applied to breast cytology. Proc. National Academy of Sciences, 87:9193-9196, Dec. 1990.
    • (1990) Proc. National Academy of Sciences , vol.87 , pp. 9193-9196
    • Wolberg, W.1    Mangasarian, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.